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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design High-Performing Architectures | 24% | - Design high-performance compute solutions
|
| Topic 2: Design Resilient Architectures | 26% | - Design decoupled and loosely coupled systems
|
| Topic 3: Design Cost-Optimized Architectures | 20% | - Design cost-effective compute and network solutions
|
| Topic 4: Design Secure Architectures | 30% | - Design secure access to AWS resources
|
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NEW QUESTION # 648
[Design High-Performing Architectures]
A company deployed a serverless application that uses Amazon DynamoDB as a database layer The application has experienced a large increase in users. The company wants to improve database response time from milliseconds to microseconds and to cache requests to the database.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
DynamoDB Accelerator (DAX) is a fully managed, highly available caching service built for Amazon DynamoDB. DAX delivers up to a 10 times performance improvement-from milliseconds to microseconds-even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale. You do not need to modify application logic because DAX is compatible with existing DynamoDB API calls. This solution will meet the requirements with the least operational overhead, as it does not require any code development or manual intervention.
Reference:
1 provides an overview of Amazon DynamoDB Accelerator (DAX) and its benefits.
2 explains how to use DAX with DynamoDB for in-memory acceleration.
NEW QUESTION # 649
[Design Secure Architectures]
A solutions architect is implementing a document review application using an Amazon S3 bucket for storage. The solution must prevent accidental deletion of the documents and ensure that all versions of the documents are available. Users must be able to download, modify, and upload documents.
Which combination of actions should be taken to meet these requirements? (Choose two.)
Answer: A,E
Explanation:
A . Enable a read-only bucket ACL. This solution will not meet the requirement of allowing users to download, modify, and upload documents, as a read-only bucket ACL will prevent write access to the bucket3.
C . Attach an IAM policy to the bucket. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as an IAM policy is used to grant or deny permissions to users or roles, not to enable versioning or MFA Delete4.
E . Encrypt the bucket using AWS KMS. This solution will not meet the requirement of preventing accidental deletion of the documents and ensuring that all versions of the documents are available, as encrypting the bucket using AWS KMS is a method of protecting data at rest, not enabling versioning or MFA Delete.
Reference URL: https://docs.aws.amazon.com/AmazonS3/latest/userguide/Versioning.html
NEW QUESTION # 650
A DevOps Engineer is required to design a cloud architecture in AWS. The Engineer is planning to develop a highly available and fault-tolerant architecture consisting of an Elastic Load Balancer and an Auto Scaling group of EC2 instances deployed across multiple Availability Zones. This will be used by an online accounting application that requires path-based routing, host-based routing, and bi-directional streaming using Remote Procedure Call (gRPC).
Which configuration will satisfy the given requirement?
Answer: B
Explanation:
Application Load Balancer operates at the request level (layer 7), routing traffic to targets (EC2 instances, containers, IP addresses, and Lambda functions) based on the content of the request. Ideal for advanced load balancing of HTTP and HTTPS traffic, Application Load Balancer provides advanced request routing targeted at delivery of modern application architectures, including microservices and container-based applications. Application Load Balancer simplifies and improves the security of your application, by ensuring that the latest SSL/TLS ciphers and protocols are used at all times.
If your application is composed of several individual services, an Application Load Balancer can route a request to a service based on the content of the request such as Host field, Path URL, HTTP header, HTTP method, Query string, or Source IP address.
ALBs can also route and load balance gRPC traffic between microservices or between gRPC-enabled clients and services. This will allow customers to seamlessly introduce gRPC traffic management in their architectures without changing any of the underlying infrastructure on their clients or services.
Therefore, the correct answer is: Configure an Application Load Balancer in front of the auto-scaling group. Select gRPC as the protocol version.
The option that says: Configure a Network Load Balancer in front of the auto-scaling group. Use a UDP listener for routing is incorrect. Network Load Balancers do not support gRPC.
The option that says: Configure a Gateway Load Balancer in front of the auto-scaling group. Ensure that the IP Listener Routing uses the GENEVE protocol on port 6081 to allow gRPC response traffic is incorrect. A Gateway Load Balancer operates as a Layer 3 Gateway and a Layer 4 Load Balancing service. Do take note that the gRPC protocol is at Layer 7 of the OSI Model so this service is not appropriate for this scenario.
The option that says: Configure a Network Load Balancer in front of the auto-scaling group. Create an AWS Global Accelerator accelerator and set the load balancer as an endpoint is incorrect. AWS Global Accelerator simply optimizes application performance by routing user traffic to the congestion-free, redundant AWS global network instead of the public internet. References:
https://aws.amazon.com/elasticloadbalancing/features
https://aws.amazon.com/elasticloadbalancing/faqs/
AWS Elastic Load Balancing Overview:
https://youtu.be/UBl5dw59DO8
Check out this AWS Elastic Load Balancing (ELB) Cheat Sheet:
https://tutorialsdojo.com/aws-elastic-load-balancing-elb/
Application Load Balancer vs Network Load Balancer vs Gateway Load Balancer:
https://tutorialsdojo.com/application-load-balancer-vs-network-load-balancer-vs-classic-load-balancer/
NEW QUESTION # 651
A company is migrating an old application to AWS The application runs a batch job every hour and is CPU intensive The batch job takes 15 minutes on average with an on-premises server The server has 64 virtual CPU (vCPU) and 512 GiB of memory Which solution will run the batch job within 15 minutes with the LEAST operational overhead?
Answer: D
Explanation:
Use AWS Batch on Amazon EC2. AWS Batch is a fully managed batch processing service that can be used to easily run batch jobs on Amazon EC2 instances. It can scale the number of instances to match the workload, allowing the batch job to be completed in the desired time frame with minimal operational overhead.
Using AWS Lambda with Amazon API Gateway - AWS Lambda
https://docs.aws.amazon.com/lambda/latest/dg/services-apigateway.html
AWS Lambda FAQs
https://aws.amazon.com/lambda/faqs/
NEW QUESTION # 652
[Design Secure Architectures]
A company is enhancing the security of its AWS environment, where the company stores a significant amount of sensitive customer dat a. The company needs a solution that automatically identifies and classifies sensitive data that is stored in multiple Amazon S3 buckets. The solution must automatically respond to data breaches and alert the company's security team through email immediately when noncompliant data is found.
Which solution will meet these requirements?
Answer: B
Explanation:
A & B. GuardDuty:Designed for threat detection, not for identifying or classifying sensitive data in S3 buckets.
C . Macie with EventBridge + SNS:Automatically identifies sensitive data, triggers alerts, and uses SNS for immediate notification via email.
D . Macie with EventBridge + SQS:Introduces latency due to periodic polling and adds unnecessary complexity.
NEW QUESTION # 653
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